Projects
I built a PyTorch-based machine learning pipeline to classify gas morphologies around binary star systems using simulated JWST NIRCam observations. The model consumes 4-channel multi-band images (F200W–F444W) and predicts one of five morphology classes, spiral, shell, bipolar outflow, irregular, or no gas, each corresponding to distinct binary interaction regimes.
Engagement
12 min
User Satisfaction
4.5*
I built a PyTorch-based machine learning pipeline to classify gas morphologies around binary star systems using simulated JWST NIRCam observations. The model consumes 4-channel multi-band images (F200W–F444W) and predicts one of five morphology classes, spiral, shell, bipolar outflow, irregular, or no gas, each corresponding to distinct binary interaction regimes.
Engagement
12 min
User Satisfaction
4.5*
I built a PyTorch-based machine learning pipeline to classify gas morphologies around binary star systems using simulated JWST NIRCam observations. The model consumes 4-channel multi-band images (F200W–F444W) and predicts one of five morphology classes, spiral, shell, bipolar outflow, irregular, or no gas, each corresponding to distinct binary interaction regimes.
Engagement
12 min
User Satisfaction
4.5*
Renewable Energy ROI Analysis Across U.S. States
I led a technical data analysis project evaluating the long-term economic return on investment (ROI) of transitioning U.S. states from fossil-fuel electricity to locally available renewable energy. The pipeline integrates multiple federal datasets and computes three complementary ROI metrics: per-MWh efficiency, total state economic impact, and per-capita equity.
Usability
85%
User Retention
70%
Revamping an E-Commerce Website
Redesigned an existing e-commerce website to improve the user experience and increase sales, including a streamlined checkout process and improved navigation.
Engagement
12 min
User Satisfaction
4.5*
Renewable Energy ROI Analysis Across U.S. States
I led a technical data analysis project evaluating the long-term economic return on investment (ROI) of transitioning U.S. states from fossil-fuel electricity to locally available renewable energy. The pipeline integrates multiple federal datasets and computes three complementary ROI metrics: per-MWh efficiency, total state economic impact, and per-capita equity.
Usability
85%
User Retention
70%
Astronomy Club Newsletter Automation
I designed and implemented a fully automated weekly newsletter pipeline for the UC San Diego Astronomy Club to replace a manual, error-prone communication process. The system aggregates upcoming events from Google Calendar, curates space-science news from multiple sources using LLM-based relevance scoring, and pulls evening-specific weather forecasts optimized for stargazing conditions. It then generates a production-ready HTML email draft in Gmail with subscriber management and a public unsubscribe endpoint.
Conversion Rate
12%
User Satisfaction
4.8*
Developing a Mobile Health Tracking App
The client, a well-established e-commerce platform, sought to improve their website's navigation to enhance user experience and increase conversion rates.
Engagement
150%
User Satisfaction
4.5*
Astronomy Club Newsletter Automation
I designed and implemented a fully automated weekly newsletter pipeline for the UC San Diego Astronomy Club to replace a manual, error-prone communication process. The system aggregates upcoming events from Google Calendar, curates space-science news from multiple sources using LLM-based relevance scoring, and pulls evening-specific weather forecasts optimized for stargazing conditions. It then generates a production-ready HTML email draft in Gmail with subscriber management and a public unsubscribe endpoint.
Conversion Rate
12%
User Satisfaction
4.8*
OER Integration at UC San Diego
I am currently working on institutional research and infrastructure planning for Open Educational Resource (OER) adoption at UC San Diego through SPACES. The project focuses on identifying technical, organizational, and policy bottlenecks that limit large-scale adoption, and on designing integration pathways for a centralized OER resource hub serving instructional staff.
Conversion Rate
20%
User Satisfaction
95%
Optimizing a Corporate Intranet
A leading bank wanted to revamp their mobile app to provide a more user-friendly and secure experience
Engagement
12 min
User Satisfaction
4.5*
OER Integration at UC San Diego
I am currently working on institutional research and infrastructure planning for Open Educational Resource (OER) adoption at UC San Diego through SPACES. The project focuses on identifying technical, organizational, and policy bottlenecks that limit large-scale adoption, and on designing integration pathways for a centralized OER resource hub serving instructional staff.
Conversion Rate
20%
User Satisfaction
95%
Astrophysics student at
UC San Diego
UC San Diego
UC San Diego
UC San Diego
UC San Diego
with over
3 years
3 years
3 years
3 years
3 years
of industry experience. Expected to graduate
June 2027
June 2027
June 2027
June 2027
June 2027
Expertise extends to
end-to-end ML Systems
end-to-end ML Systems
end-to-end ML Systems
end-to-end ML Systems
end-to-end ML Systems
from data retrieval, training, maintenance, and deployment.
Currently work as an
Undergraduate Researcher
Undergraduate Researcher
Undergraduate Researcher
Undergraduate Researcher
Undergraduate Researcher
at UC San Diego
Astrophysics student at
UC San Diego
UC San Diego
UC San Diego
UC San Diego
UC San Diego
with over
3 years
3 years
3 years
3 years
3 years
of industry experience. Expected to graduate
June 2027
June 2027
June 2027
June 2027
June 2027
Expertise extends to
end-to-end ML Systems
end-to-end ML Systems
end-to-end ML Systems
end-to-end ML Systems
end-to-end ML Systems
from data retrieval, training, maintenance, and deployment.
Currently work as an
Undergraduate Researcher
Undergraduate Researcher
Undergraduate Researcher
Undergraduate Researcher
Undergraduate Researcher
at UC San Diego
Astrophysics student at
UC San Diego
UC San Diego
UC San Diego
UC San Diego
UC San Diego
with over
3 years
3 years
3 years
3 years
3 years
of industry experience. Expected to graduate
June 2027
June 2027
June 2027
June 2027
June 2027
Expertise extends to
end-to-end ML Systems
end-to-end ML Systems
end-to-end ML Systems
end-to-end ML Systems
end-to-end ML Systems
from data retrieval, training, maintenance, and deployment.
Currently work as an
Undergraduate Researcher
Undergraduate Researcher
Undergraduate Researcher
Undergraduate Researcher
Undergraduate Researcher
at UC San Diego